Marko Nagode (Avtor), Jernej Klemenc (Avtor)

Povzetek

When the load is stochastic and the service life is a consequence of the fatigue process, the loading histories are transferred into load spectra using rainflow counting. Once the empirical densities of load cycles are known, their probability density is estimated. Here, different probability density mixtures and algorithms for their estimation have been compared according to their ability to model rainflow matrices. The estimated probability density should also consider loading cycles with a small probability. The main scientific contribution of this article is that procedures were identified, which enable more thorough consideration of those clusters with less probable load cycles.

Ključne besede

rainflow counting;probability density function;load spectrum;finite mixture distributions;fatigue life;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 519.876.5(045)
COBISS: 35679235 Povezava se bo odprla v novem oknu
ISSN: 0142-1123
Št. ogledov: 382
Št. prenosov: 45
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: rainflow števna metoda;gostota porazdelitve verjetnosti;obremenitveni spekter;končna mešanica porazdelitev;doba trajanja;
Vrsta dela (COBISS): Članek v reviji
Konec prepovedi (OpenAIRE): 2022-11-04
Strani: str. 1-10
Zvezek: ǂVol. ǂ143
Čas izdaje: Feb. 2021
DOI: 10.1016/j.ijfatigue.2020.106006
ID: 12126911